Evidence map›Paper›PMID 35661437›Full record

ArticleCancer medicine2023

Real-world implications of nonbiological factors with staging, clinical management, and prognostic prediction in pancreatic ductal adenocarcinoma.

Chao Wang, Haoda Chen, Xiaxing Deng, Wei Xu, Baiyong Shen

Abstract read
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Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chao WangDepartment of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0001-6269-4587
Haoda ChenDepartment of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaxing DengDepartment of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Wei XuDepartment of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Baiyong ShenDepartment of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-3994-248X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) staging system focuses on traditional biological factors (BFs). The present study incorporates nonbiological factors (NBFs) into the AJCC-TNM staging system in terms of the advanced clinical management and prognostic-prediction accuracy of pancreatic ductal adenocarcinoma (PDAC).

methodsEight thousand three hundred and thirty eligible patients with PDAC were obtained from Surveillance, Epidemiology, and End Results database between January 1, 2011, and December 31, 2015. Multivariate Cox proportional hazards regression analysis and Kaplan-Meier curves were used to testify the feasibility of cancer-specific survival (CSS) prediction based on TNM-NBF stages.

resultsThe large population-based study demonstrated that NBFs (insurance status, marital status, county-level median household income, and unemployment) were significant prognostic indicators (p < 0.005), and multivariate Cox regression analysis demonstrated that the NBF1 stage carried a 29.4% increased risk of cancer-specific mortality than NBF0 stage (p < 0.001). The concordance index of TNM-NBF stage was 0.755 (95% confidence interval: 0.740-0.769).

conclusionsThe novel NBF stage was independently associated with CSS of PDAC. In addition, combining TNM with the NBF stage could provide better clinical management and prognostic-prediction accuracy.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsHumansNeoplasm StagingPrognosisAJCC-TNM staging systemnonbiological factorspancreatic ductal adenocarcinoma (PDAC)SEERsurvival

Identifiers

PMID35661437
PMCPMC9844656

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.